Shailendra K. Gupta
- Molecular Biology top 10%
- Cancer Research top 5%
- Physiology top 10%
- Plant Science top 10%
- Oncology
- Co-authors
- Olaf WolkenhauerJulio VeraUlf SchmitzShashi Kant TiwariRajnish Kumar ChaturvediAnuradha YadavBrashket SethMadhumita Karmakar
- Topics
- Computational Drug Discovery Methods (12 papers)Bioinformatics and Genomic Networks (9 papers)vaccines and immunoinformatics approaches (8 papers)
- Partner nations
- IndiaGermanySouth Africa
In The Last Decade
Shailendra K. Gupta
100 papers receiving 2.1k citations
Peers
Comparison fields: 5 of 162
- Molecular Biology 972
- Cancer Research 338
- Physiology 211
- Plant Science 189
- Oncology 170
Countries citing papers authored by Shailendra K. Gupta
This map shows the geographic impact of Shailendra K. Gupta's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Shailendra K. Gupta with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shailendra K. Gupta more than expected).
Fields of papers citing papers by Shailendra K. Gupta
This network shows the impact of papers produced by Shailendra K. Gupta. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Shailendra K. Gupta. The network helps show where Shailendra K. Gupta may publish in the future.
Co-authorship network of co-authors of Shailendra K. Gupta
This figure shows the co-authorship network connecting the top 25 collaborators of Shailendra K. Gupta. A scholar is included among the top collaborators of Shailendra K. Gupta based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Shailendra K. Gupta. Shailendra K. Gupta is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 3 | |
| 4 | 9 | |
| 5 | 0 | |
| 6 | 0 | |
| 7 | 3 | |
| 8 | 21 | |
| 9 | Diagnostic and prognostic role of stromal CD 10 and Ki 67 in benign and malignant Phylloides tumor of breast. | 0 |
| 10 | 23 | |
| 11 | The Role of Distance Education in the Human skill Development of India | 1 |
| 12 | Development of India’s First Phase Shifting Transformer | 0 |
| 13 | Critical technical aspects during design, manufacturing and testing of India's first 1200 kV UHVAC transformer | 2 |
| 14 | 70 | |
| 15 | 7 | |
| 16 | 5 | |
| 17 | 26 | |
| 18 | Antifungal activities and chemical characterization of neem leaf extracts on the growth of some selected fungal species in vitro culture medium. | 62 |
| 19 | 3 | |
| 20 | 6 |
About Shailendra K. Gupta
Shailendra K. Gupta is a scholar working on Aging, Computational Theory and Mathematics and Microbiology, having authored 114 papers that have together received 2.2k indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (12 papers), Bioinformatics and Genomic Networks (9 papers) and vaccines and immunoinformatics approaches (8 papers). The work is most often cited by research in Molecular Medicine (165 citations), Developmental Neuroscience (117 citations) and Cancer Research (338 citations). Shailendra K. Gupta has collaborated with scholars based in India, Germany and South Africa. Frequent co-authors include Olaf Wolkenhauer, Julio Vera, Ulf Schmitz, Shashi Kant Tiwari, Rajnish Kumar Chaturvedi, Anuradha Yadav, Brashket Seth, Madhumita Karmakar, Swati Agarwal and Kailash C. Gupta. Their work appears in journals such as Nucleic Acids Research, Journal of Biological Chemistry and Nature Communications.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.